Role at a glance
- Salary
- Not Disclosed
- Location
- Remote - Denmark Aarhus, Denmark
- Work arrangement
- Remote
- Employment
- Full-time
- Experience
- Experience managing or leading technical teams in Big Data, Cloud, SaaS, or similarly complex technology environments
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Role Summary
The Field Engineering Manager will lead a Denmark-based pre-sales team of Solutions Architects and Solutions Engineers at the intersection of technology and business. The role partners with Sales, customers, and cross-functional teams to design value-focused solutions, support strategic sales cycles, and build Databricks’ presence in Nordic markets.
What You'll Do
- Lead, mentor, and develop an inclusive pre-sales team in Denmark
- Partner with Sales to drive solution- and value-based selling
- Establish and iterate on best practices that improve team effectiveness
- Build trusted relationships with customer executives and strategic partners
- Collaborate across Marketing, Sales, Product, and Services to support a seamless customer experience and successful implementation
- Represent Databricks as part of the regional leadership team and contribute to building its brand and presence in Nordic markets
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Experience leading, mentoring, and scaling pre-sales, consulting, or technical field organisations; understanding of consumption-based or subscription business models; ability to collaborate with Sales and cross-functional leaders; strong communication and interpersonal skills; fluency in English; technical background in Data Engineering, Databases, Data Science, or adjacent fields; passion for data, AI, and cloud technologies.
Required
- Experience managing or leading technical teams in Big Data, Cloud, SaaS, or similarly complex technology environments
- Experience leading, mentoring, and scaling pre-sales, consulting, or technical field organisations
- Understanding of consumption-based or subscription business models
- Ability to collaborate effectively with Sales and other cross-functional leaders
- Strong communication and interpersonal skills
- Fluency in English
- Technical background in Data Engineering, Databases, Data Science, or adjacent fields
Preferred
- Danish
- Consulting or customer-facing experience
Original job description
Content provided by the employer
Original job description
Content provided by the employer
(FEQ427R176)
As a Field Engineering Manager, you will lead a skilled and motivated team of technical pre-sales Solutions Architects and Solutions Engineers based in Denmark. You will play a key leadership role at the intersection of technology and business, helping the team design value-focused solutions and support growth through effective collaboration with Sales and other partners.
You will coach your team to communicate complex ideas clearly and accessibly, supporting strategic sales cycles, and building strong partnerships with customers and stakeholders across large organisations. You will also foster a culture where people with diverse backgrounds feel included, supported, and able to do their best work.
The impact you will have:
- Lead, mentor, and develop an inclusive pre-sales team in Denmark, supporting both performance and long-term career growth.
- Foster a collaborative culture that reflects Databricks’ values of customer focus, teamwork, and diversity of thought.
- Partner with Sales to drive solution- and value-based selling, helping customers understand the business impact of our platform.
- Enhance team effectiveness by establishing and iterating on best practices that improve efficiency and focus on meaningful business outcomes.
- Build trusted relationships with customer executives and strategic partners, acting as a credible advisor on data, analytics, and AI.
- Collaborate across teams—including Marketing, Sales, Product, and Services—to ensure a seamless customer experience and successful implementation.
- Represent Databricks as part of the regional leadership team and contribute to building our brand and presence in Nordic markets.
What we’re looking for:
*Note - you do not need to fulfil every single requirement to be a strong candidate. If you are excited about this role and have related experience, we encourage you to apply.*
- Experience managing or leading technical teams in Big Data, Cloud, SaaS, or similarly complex technology environments, or equivalent experience that shows you can quickly learn new technologies.
- A track record of leading, mentoring, and scaling pre-sales, consulting, or technical field organisations, with an emphasis on coaching and inclusive leadership.
- Understanding of consumption-based or subscription business models and how technical decisions influence commercial outcomes.
- Ability to collaborate effectively with Sales and other cross-functional leaders, balancing customer value, technical feasibility, and business priorities.
- Strong communication and interpersonal skills, with fluency in English required and Danish preferable.
- Technical background in Data Engineering, Databases, Data Science, or adjacent fields; consulting or customer-facing experience is an advantage.
- Curiosity and passion for data, AI, and cloud technologies, and the ability to articulate their business value in clear, inclusive language.
Notes:
- This will be a ‘Remote Contract’ with no formal Databricks office currently in Denmark. However the team do meet weekly/bi-weekly to meet in a coworking space in Copenhagen.
- If you need any adjustments or accommodations during the application or interview process, please let us know so we can support you.
#LI-hybrid
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.